End of training

README.md

@@ -10,23 +10,23 @@ metrics:
 - recall
 - f1
 model-index:
-- name: Intellect_binary
+- name: Liberalism_binary
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Intellect_binary
+# Liberalism_binary
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6577
-- Accuracy: 0.6511
-- Precision: 0.6853
-- Recall: 0.5685
-- F1: 0.6215
-- Auc: 0.6517
+- Loss: 0.6927
+- Accuracy: 0.6782
+- Precision: 0.6618
+- Recall: 0.6960
+- F1: 0.6785
+- Auc: 0.6786
 
 ## Model description
 
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Auc    |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
-| No log        | 1.0   | 134  | 0.6308          | 0.6614   | 0.6539    | 0.6963 | 0.6744 | 0.6611 |
-| No log        | 2.0   | 268  | 0.6236          | 0.6539   | 0.7086    | 0.5315 | 0.6074 | 0.6548 |
-| No log        | 3.0   | 402  | 0.6577          | 0.6511   | 0.6853    | 0.5685 | 0.6215 | 0.6517 |
+| No log        | 1.0   | 134  | 0.6187          | 0.6371   | 0.7463    | 0.3881 | 0.5107 | 0.6312 |
+| No log        | 2.0   | 268  | 0.6014          | 0.6763   | 0.6588    | 0.6979 | 0.6778 | 0.6768 |
+| No log        | 3.0   | 402  | 0.6927          | 0.6782   | 0.6618    | 0.6960 | 0.6785 | 0.6786 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:90fb606acc5eb1a7221007c013c6e4589f6e457e6281ea8ba37d2f1c4ff737ea
+oid sha256:499408ff7441dcd58e304f6e724c1b3c1a280d1c7ecd37f235c2b75683a6e0e7
 size 1421495416